{"id":"W2944875226","doi":"10.17925/usn.2019.15.1.18","title":"Imaging, Technology, and Parkinson’s Disease","year":2019,"lang":"en","type":"article","venue":"touchREVIEWS in Neurology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Deep brain stimulation; Medicine; Movement disorders; Dystonia; Essential tremor; Neuromodulation; Parkinson's disease; Neuroimaging; Translational research; Neurosurgery; Neurology; Clinical neuroscience; Neuroscience; Physical medicine and rehabilitation; Disease; Psychology; Psychiatry; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007094385,0.0001496728,0.0003914004,0.0002062138,0.00001776165,0.000004607453,0.00007571239,0.0000674285,0.0002798069],"category_scores_gemma":[0.0000939653,0.0001104073,0.00005209695,0.0002480252,0.0001237639,0.00003230155,0.00008946819,0.0002589578,0.0002543343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005880505,"about_ca_system_score_gemma":0.00001756688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005446023,"about_ca_topic_score_gemma":0.000002994694,"domain_scores_codex":[0.9989578,0.00006280222,0.0002178073,0.0004359899,0.0000660439,0.0002595713],"domain_scores_gemma":[0.9994432,0.00003979006,0.0000493632,0.0003453681,0.00001284904,0.0001094459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001741872,0.000164813,0.9672586,0.00006932661,0.000005023339,0.0005745845,0.000004401511,3.949675e-7,0.00009345268,0.001068938,0.0005642211,0.03002204],"study_design_scores_gemma":[0.00173027,0.0004697141,0.7413446,0.00003015688,0.00003913077,0.00007406457,0.000001638377,0.0001215995,0.000007814018,0.007837192,0.2482491,0.00009475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569126,0.01841556,0.000002118663,0.02061407,0.00011627,0.0007623492,0.000002331936,0.0000612224,0.003113419],"genre_scores_gemma":[0.9758422,0.00503587,0.00006491275,0.01871135,0.00001520194,0.00006983177,0.000004366733,0.00001440555,0.0002418295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2476848,"threshold_uncertainty_score":0.4502277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212401069292168,"score_gpt":0.2724420969306564,"score_spread":0.2603180862377347,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}